{"datasetrec":{"DasID":6410,"Acronym":"GEANS Data","StandardTitle":"Genetic tools for Ecosystem health Assessment in the North Sea region","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":"annelies.debacker@ilvo.vlaanderen.be","VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"Sustainable use and management of marine resources is key for good ecosystem health. Monitoring for ecosystem health assessments is currently based on morphological species identification, which is time-consuming, labor-intensive and skills reliant. DNA-based tools promise cheaper, faster and more accurate methods, yet, different approaches between countries are used which hamper standard routine application. The Interreg NSR project GEANS, therefore aims to:\r\n\r\n1. Develop joint time- and cost-reducing genetic monitoring tools that feed into existing indicators to assess North Sea ecosystem health\r\n2. Implement standardized genetic tools and SOPs in routine biological assessments\r\n3. Develop a framework to apply and implement DNA-based tools in policy and transnational management of the North Sea Region.","EngDescr":"Set-up of an open DNA sequence library, linking DNA to species, will guarantee continuity of traditional assessment series. Real time pilot studies, in close cooperation with managers, policymakers and involved stakeholders, will deliver proof of concept on the added value of genetic approaches in environmental health management. These pilots cover environmental impact assessments (EIAs) for human activities (renewable energy, aquaculture and aggregate dredging) and environmental monitoring for e.g. non-indigenous species (NIS) in the framework of EU directives (MSFD and Natura2000). The data generated within the different pilots will feed into biotic indicators to translate the outputs into simple information needed by national authorities to make sound management decisions.\r\n\r\nSustainable use and management of the North Sea Region (NSR) natural resources remains a grand challenge. The NSR has a rich and diverse natural environment delivering many ecosystem goods and services to society, such as food provision, coastal protection and climate regulation. Stimulated by the EU Blue Growth Agenda, human use of the NS is increasing and diversifying. Both new and existing activities contribute to employment and economic welfare, but they also increase the pressure on the marine environment, thereby threatening ecosystem health (e.g. transport, renewable energy, exploitation of living and mineral resources, introduction of non-indigenous species). To conserve and improve NSR ecosystem health, proper management measures need to be taken, which depend on fast and accurate monitoring.","OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":0,"DescrTransFlag":0,"Citation":null,"AccessConstraints":"untill project end (30 June 2023)","UDate":"2023-07-13","CDate":"2020-03-16","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-04-10 01:42:12.540544","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":1,"FreshFlag":0,"BrackishFlag":1,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":null,"Progress":"In Progress","AccessConstraint":"Unrestricted after moratorium period","AccConstrEN":"Unrestricted after moratorium period","AccConstrDisplay":null,"License":null,"AccConstrDescription":"Data are initially restricted, but the access condition relaxes to academic or unrestricted once a specified period of time after an event (such as collection, publication, completion of QC procedures or project cessation) has elapsed","Lineage":null,"AccConID":8},"dois":null,"spcols":null,"keywords":[{"ThesaurusTerm":"ANE, North Sea","ThesTypID":34,"ThesType":"ASFA Geoterms","Code":null,"Description":null,"OrigThesTerm":"ANE, North Sea","DutchTerm":null,"URI":null,"DasKeywordDescr":null}],"parents":null,"children":[{"DasID":6482,"Acronym":"HBS GEANS","EngAbstract":"In GEANS, the ARMS network will be used in the assessment of Good Environmental Status as part of the European Marine Strategy Framework Directive (MSFD), mainly related to measures of benthic biodiversity (MSFD Descriptor 1), and measures of Non-Indigenous species (MSFD Descriptor 2). ARMS, as a standardized sampling technique, combined with today’s powerful molecular methods will enable the monitoring of marine communities over large areas, such as the North Sea, says Matthias Obst, the coordinator of the network.\nAs a pilot study within the GEANS project, genetic protocols will be developed and harmonized, which will be applied in the assessment of ecological status and changes in hard bottom benthic communities of near coastal environments.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"ARMS observations of hard-bottom communities by Flanders Marine Institute, SeAnalytics, Nord University and Aarhus University","doi":null,"vlizDoi":null},{"DasID":6429,"Acronym":"NIS BE","EngAbstract":"Traditional monitoring techniques for ecosystem monitoring identifying are currently time consuming and expensive. By applying DNA-based techniques, GEANS aims to reduce time and costs, and make species identification more accurate. Pilot studies take a central role in proving these advantages. Among the pilot studies, one specifically aims for on the detection non-indigenous species (NIS), since accurate monitoring is a key prerequisite to limit the spread of NIS among harbours. Scrape samples, fouling plate samples, phytoplankton samples and zooplankton samples were taken in the the harbour of Ostend and analysed through metabarcoding and results were compared with traditional monitoring techniques in order to demonstrate the improvement of applying novel techniques. This data is the result of DNA-based spring and summer monitoring of benthic species in the framework of the GEANS NIS pilot at the harbour of  Ostend by VLIZ in 2020.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS NIS pilot - 2020 DNA-based benthic and planktonic species monitoring at the harbour of Ostend by VLIZ","doi":null,"vlizDoi":null},{"DasID":6684,"Acronym":"NIS SE","EngAbstract":"The University of Gothenburg has, on behalf of the Swedish Agency for Marine and Water Management and in collaboration with SeAnalytics AB, carried out two pilot studies to investigate whether plankton samples and settling panels in combination with DNA-based species identification is an effective method for early detection and continuous monitoring of non-indigenous species (NIS). The surveys were conducted during the winter, spring and summer of 2020 at various locations along the Swedish west coast, from the fjord Brofjorden in the north to Helsingborg in the south. The sites were chosen based on previous modelling (Bergkvist et al. 2020a) of introduction hotspots for alien species.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS NIS pilot - 2020 DNA-based benthic and planktonic species monitoring by SeAnalytics","doi":null,"vlizDoi":null},{"DasID":8051,"Acronym":"NIS DE","EngAbstract":"This case study aims in tracing NIS species in harbours using metabarcoding methods in comparison with morphology using scrape samples and van Veen grab samples (together with plankton samples). For this reason samples were taken in Rostock in three different harbour localities.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS NIS pilot - 2020 DNA-based benthic species monitoring in harbour of Rostock by Senckenberg","doi":null,"vlizDoi":null},{"DasID":6686,"Acronym":"NIS DE","EngAbstract":"This case study aims in tracing NIS species in ships' hulls. For this reason scrape samples have been taken from a number of ships from three different localities in the North and Baltic Sea. ","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS NIS pilot - 2020 DNA-based benthic species monitoring in ships' hulls by Senckenberg ","doi":null,"vlizDoi":null},{"DasID":8052,"Acronym":"NIS DE","EngAbstract":"This case study aims in tracing NIS species in harbours using environmental DNA (eDNA) tools. For this reason samples were taken in Rostock in three different harbour localities.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS NIS pilot - 2021 DNA-based monitoring of eDNA in harbour of Rostock by Senckenberg","doi":null,"vlizDoi":null},{"DasID":8359,"Acronym":"eDNA WUR","EngAbstract":"<p>Many organisms release DNA molecules in the marine environment through the excretion of faeces, mucus, gametes or the release of scales and skin cells. This eDNA can be collected in a non-destructive way just by simply sampling and filtering water. However, the application of eDNA sampling as monitoring tool in highly dynamic and relatively shallow systems such as the North Sea is still in its infancy. Our own preliminary results in the North Sea are promising and show that spatial differences in diversity can be picked up with eDNA and that local eDNA concentrations correlate well with abundances of target species in the locations. The benefit of eDNA sampling lays in the zero impact on marine life when only water is collected. Moreover, the eDNA method offers long-term benefits, since it has the potential for automatic and autonomous sample collection through the use of robotics like AUVs.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS pilot eDNA - 2021 Case study on use of long read metabarcoding in artificial reefs in the Dutch North Sea by WUR.","doi":null,"vlizDoi":null},{"DasID":6682,"Acronym":"eDNA ILVO","EngAbstract":"<p>Many organisms release DNA molecules in the marine environment through the excretion of faeces, mucus, gametes or the release of scales and skin cells. This eDNA can be collected in a non-destructive way just by simply sampling and filtering water. However, the application of eDNA sampling as monitoring tool in highly dynamic and relatively shallow systems such as the North Sea is still in its infancy. Our own preliminary results in the North Sea are promising and show that spatial differences in diversity can be picked up with eDNA and that local eDNA concentrations correlate well with abundances of target species in the locations. The benefit of eDNA sampling lays in the zero impact on marine life when only water is collected. Moreover, the eDNA method offers long-term benefits, since it has the potential for automatic and autonomous sample collection through the use of robotics like AUVs.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS pilot eDNA - 2021 eDNA monitoring in offshore windmill farms in the BPNS by ILVO","doi":null,"vlizDoi":null},{"DasID":6681,"Acronym":"eDNA VLIZ","EngAbstract":"<p>Many organisms release DNA molecules in the marine environment through the excretion of faeces, mucus, gametes or the release of scales and skin cells. This eDNA can be collected in a non-destructive way just by simply sampling and filtering water. However, the application of eDNA sampling as monitoring tool in highly dynamic and relatively shallow systems such as the North Sea is still in its infancy. Our own preliminary results in the North Sea are promising and show that spatial differences in diversity can be picked up with eDNA and that local eDNA concentrations correlate well with abundances of target species in the locations. The benefit of eDNA sampling lays in the zero impact on marine life when only water is collected. Moreover, the eDNA method offers long-term benefits, since it has the potential for automatic and autonomous sample collection through the use of robotics like AUVs.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS pilot eDNA - 2021 eDNA monitoring of Non-Indigenous Species in the harbor of Ostend by VLIZ.","doi":null,"vlizDoi":null},{"DasID":8358,"Acronym":"eDNA Senckenberg","EngAbstract":"<p>Many organisms release DNA molecules in the marine environment through the excretion of faeces, mucus, gametes or the release of scales and skin cells. This eDNA can be collected in a non-destructive way just by simply sampling and filtering water. However, the application of eDNA sampling as monitoring tool in highly dynamic and relatively shallow systems such as the North Sea is still in its infancy. Our own preliminary results in the North Sea are promising and show that spatial differences in diversity can be picked up with eDNA and that local eDNA concentrations correlate well with abundances of target species in the locations. The benefit of eDNA sampling lays in the zero impact on marine life when only water is collected. Moreover, the eDNA method offers long-term benefits, since it has the potential for automatic and autonomous sample collection through the use of robotics like AUVs.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS pilot eDNA - 2021 eDNA monitoring of Non-Indigenous Species in the harbor of Rostock by Senckenberg.","doi":null,"vlizDoi":null},{"DasID":6432,"Acronym":"GRL","EngAbstract":"Benthic macroinvertebrates are key components in environmental impact assessments. Nevertheless, their use as bioindicators can be constrained by the time- and cost-consuming processes needed for their morphological identification. The recent advances in high-throughput sequencing, particularly DNA metabarcoding can provide an alternative to morphology-based approaches. The main limitation for DNA-based tools to be implemented in biomonitoring projects is the considerable investment needed to build high-quality and curated taxonomic reference DNA sequence libraries for species identification. To begin addressing this shortage, GEANS project aims in developing a curated DNA reference library based on mitochondrial cytochrome c oxidase subunit I (COI) for the North Sea macrobenthos that will serve as the backbone of all the molecular protocols.","License":null,"StandardTitle":"GEANS Reference Library","doi":"dx.doi.org/10.5883/DS-GEANS1","vlizDoi":null},{"DasID":6431,"Acronym":"SBS BPNS","EngAbstract":"Macrobenthos samples taken with a VV grab (0,1 m²) at the BPNS at three sand extraction sites (Thorntonbank, Hinderbanken and Oostdyck) along an intensity gradient of sand extraction at each sand bank and at control locations. Objective is to investigate whether DNA based methods allow for impact assessment of sand extraction. From each sampling location, grain size and environmental metadata (e.g. coordinates, depth, temperature, salinity,...)  are available as well. From Thorntonbank samples, both morphological macrobenthos (species, count, biomass) and DNA sequences are available. From Oostdyck and Hinderbanken only DNA sequences from the macrobenthos are available.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2019 DNA based soft bottom monitoring of macrobenthos in the framework of sand extraction at BPNS by ILVO","doi":null,"vlizDoi":null},{"DasID":6678,"Acronym":"\tSBS FFHD","EngAbstract":"One of the case studies of the soft-bottom monitoring of macrobenthos pilot study is the Flora Fauna Habitat Directive (FFHD) case study. The FFHD case study takes place in the Wadden Sea (North Sea).  SGN in collaboration with the German stakeholder LKN.SH has completed a field expedition (May 2020) in the FFD monitoring location were 36 stations were sampled in various soft-bottom habitats. In each station 3 van Veen grab samples were taken together with plankton samples. Following the sampling the samples were morphological identified while  later were  genetically processed (metabarcoded). Additionally the alcohol for each sample was used for studying the e-DNA (traces of animals in the alcohol). This will allow the comparison of traditional monitoring methods (morphology) with novel genetic methods (metabarcoding and eDNA),","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of macrobenthos in the framework of Flora Fauna Habitat Directive (FFHD) by Senckenberg","doi":null,"vlizDoi":null},{"DasID":6683,"Acronym":"SBS LtM","EngAbstract":"One of the case studies of the soft-bottom monitoring of macrobenthos pilot study is the Long-term Monitoring (LTM) case study. The LTM case study takes place in a long-term sampling location near Norderney Island (part of SGN´s Long Term Ecological Research North Sea Benthos Observatory),  where SGN has a 40year time series and is one of the few long-term benthic study sites in the North Sea and the world. Five stations were sampled at water depths between 10-20 m north of the island of Norderney (German North Sea) three times within a year (September 2019, March 2020, June 2020). Each time ten samples were taken by  using a Van Veen grab sampler, five of which were preserved in alcohol and the rest five in formaldehyde for the DNA metabarcoding and the traditional monitoring respectively.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of macrobenthos in the framework of Long-term Monitoring (LtM) by Senckenberg","doi":null,"vlizDoi":null},{"DasID":6604,"Acronym":"SBS BPNS RT","EngAbstract":"12 Van Veen samples were taken in four biological communities with varying degree of macrobenthos diversity in the BPNS. These samples have been blended and processed with the GEANS metabarcoding protocol and sequenced with Illumina Miseq 2*250bp","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of macrobenthos in the framework of the ringtest at BPNS by Aarhus University","doi":null,"vlizDoi":null},{"DasID":6677,"Acronym":"\tSBS BPNS RT","EngAbstract":null,"License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of macrobenthos in the framework of the ringtest at BPNS by Naturalis","doi":null,"vlizDoi":null},{"DasID":6687,"Acronym":"SBS BPNS RT","EngAbstract":"<p>Traditional monitoring techniques for ecosystem monitoring identifying are currently time consuming and expensive. By applying DNA-based techniques, GEANS aims to reduce time and costs, and make species identification more accurate. Pilot studies take a central role in proving these advantages. Among the pilot studies, one focuses on soft-bottom monitoring of macrobenthos. Samples were taken at the North Sea, analysed through shotgun sequencing and results were compared with traditional monitoring techniques in order to demonstrate the improvement of applying novel techniques. This data is the result of DNA based soft bottom monitoring of macrobenthos in the framework of shotgun sequencing as an alternative to amplicon sequencing analysed by Nord University in 2021.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of macrobenthos in the framework of the ringtest at BPNS by Nord University","doi":null,"vlizDoi":null},{"DasID":6679,"Acronym":"\tSBS BPNS RT","EngAbstract":"<p>Traditional monitoring techniques for ecosystem monitoring identifying are currently time consuming and expensive. By applying DNA-based techniques, GEANS aims to reduce time and costs, and make species identification more accurate. Pilot studies take a central role in proving these advantages. Among the pilot studies, one focuses on soft-bottom monitoring of macrobenthos. Samples were taken at the North Sea, analysed through shotgun sequencing and results were compared with traditional monitoring techniques in order to demonstrate the improvement of applying novel techniques. This data is the result of DNA based soft bottom monitoring of macrobenthos in the framework of shotgun sequencing as an alternative to amplicon sequencing analysed by Senckenberg in 2021.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of macrobenthos in the framework of the ringtest at BPNS by Senckenberg","doi":null,"vlizDoi":null},{"DasID":6637,"Acronym":"SBS BPNS RT","EngAbstract":"Traditional monitoring techniques for ecosystem monitoring identifying are currently time consuming and expensive. By applying DNA-based techniques, GEANS aims to reduce time and costs, and make species identification more accurate. Pilot studies take a central role in proving these advantages. Among the pilot studies, one focuses on soft-bottom monitoring of macrobenthos. Samples were taken at the Northern part of the Belgian North Sea, analysed through metabarcoding and results were compared with traditional monitoring techniques in order to demonstrate the improvement of applying novel techniques. This data is the result of DNA based soft bottom monitoring of sediment samples in the framework of the robustness of the ring test at the northern part of the Belgian North Sea by Wageningen University in 2020.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of macrobenthos in the framework of the ringtest at BPNS by WUR","doi":null,"vlizDoi":null},{"DasID":6680,"Acronym":"SBS AU","EngAbstract":"Traditional monitoring techniques for ecosystem monitoring identifying are currently time consuming and expensive. By applying DNA-based techniques, GEANS aims to reduce time and costs, and make species identification more accurate. Pilot studies take a central role in proving these advantages. Among the pilot studies, one focuses on soft-bottom monitoring of macrobenthos. Sediment samples were taken at  11 station in Danish part of North Sea, analysed through metabarcoding and results were compared with traditional monitoring techniques in order to demonstrate the improvement of applying novel techniques. This data is the result of DNA based soft bottom monitoring of sediment samples in the framework of complementing benthic soft bottom monitoring with DNA-based methods at North Sea by Aarhus University.","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2020 DNA based soft bottom monitoring of sediment samples in the framework of complementing benthic soft bottom monitoring with DNA-based methods at North Sea by Aarhus University","doi":null,"vlizDoi":null},{"DasID":6579,"Acronym":"SBS BPNS RT","EngAbstract":"12 Van Veen samples were taken in four biological communities with varying degree of macrobenthos diversity in the BPNS. These samples have been blended and processed with the GEANS metabarcoding protocol and sequenced with Illumina Miseq 2*300bp","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"GEANS SBS pilot - 2021 DNA based soft bottom monitoring of macrobenthos in the framework of the ringtest at BPNS by ILVO","doi":null,"vlizDoi":null}],"othrel":null,"othrelrev":null,"ownerships":[{"OrderNr":1,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":"ILVO","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Research Institute for Agriculture, Fisheries and Food","InsOwnerCNT":1,"PersID":null,"InsID":5442,"FullInstitute":"Instituut voor Landbouw-, Visserij- en Voedingsonderzoek","RoleID":61,"Role":"Data creator","OrigName":"Flanders Research Institute for Agriculture, Fisheries and Food","StandardName":"Instituut voor Landbouw-, Visserij- en Voedingsonderzoek","FullAcronym":"ILVO","ORC":null,"ROR":null},{"OrderNr":2,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":"VLIZ","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Marine Institute","InsOwnerCNT":1,"PersID":null,"InsID":36,"FullInstitute":"Vlaams Instituut voor de Zee","RoleID":61,"Role":"Data creator","OrigName":"Flanders Marine Institute","StandardName":"Vlaams Instituut voor de Zee","FullAcronym":"VLIZ","ORC":null,"ROR":"https://ror.org/0496vr396"},{"OrderNr":3,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":1,"PersID":null,"InsID":14339,"FullInstitute":"SeAnalytics","RoleID":61,"Role":"Data creator","OrigName":null,"StandardName":"SeAnalytics","FullAcronym":null,"ORC":null,"ROR":null},{"OrderNr":4,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":"CEFAS","OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":1,"PersID":null,"InsID":4230,"FullInstitute":"Centre for Environment, Fisheries and Aquaculture Science","RoleID":61,"Role":"Data creator","OrigName":null,"StandardName":"Centre for Environment, Fisheries and Aquaculture Science","FullAcronym":"CEFAS","ORC":null,"ROR":null},{"OrderNr":5,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":"AU","OrigNameLangCode":"da","OrigNameLangID":12,"FullOrigName":"Århus Universitet","InsOwnerCNT":1,"PersID":null,"InsID":4197,"FullInstitute":"University of Aarhus","RoleID":61,"Role":"Data creator","OrigName":"Århus Universitet","StandardName":"University of Aarhus","FullAcronym":"AU","ORC":null,"ROR":null},{"OrderNr":6,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":"WUR","OrigNameLangCode":"nl","OrigNameLangID":41,"FullOrigName":null,"InsOwnerCNT":1,"PersID":null,"InsID":5450,"FullInstitute":"Wageningen University and Research Centre","RoleID":61,"Role":"Data creator","OrigName":null,"StandardName":"Wageningen University and Research Centre","FullAcronym":"WUR","ORC":null,"ROR":null},{"OrderNr":7,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":"DZMB","OrigNameLangCode":"de","OrigNameLangID":13,"FullOrigName":"Senckenberg am Meer; Deutsches Zentrum fur Marine Biodiversitätsforschung","InsOwnerCNT":1,"PersID":null,"InsID":4650,"FullInstitute":"Senckenberg am Meer; German Centre for Marine Biodiversity Research","RoleID":61,"Role":"Data creator","OrigName":"Deutsches Zentrum fur Marine Biodiversitätsforschung","StandardName":"German Centre for Marine Biodiversity Research","FullAcronym":"DZMB","ORC":null,"ROR":null},{"OrderNr":8,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":1,"PersID":null,"InsID":14338,"FullInstitute":"Nord University","RoleID":61,"Role":"Data creator","OrigName":null,"StandardName":"Nord University","FullAcronym":null,"ORC":null,"ROR":null},{"OrderNr":9,"Surname":null,"Firstname":null,"Initials":null,"PerPublicFlag":null,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":"NBC","OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":1,"PersID":null,"InsID":12212,"FullInstitute":"Naturalis Biodiversity Center","RoleID":61,"Role":"Data creator","OrigName":null,"StandardName":"Naturalis Biodiversity Center","FullAcronym":"NBC","ORC":null,"ROR":null}],"taxterms":null,"frameworks":null,"otherterms":null,"temporal":[{"DasDateID":5158,"StartYear":2019,"EndYear":2023,"StartDay":1,"EndDay":30,"StartDate":"2019-03-01","EndDate":"2023-06-30","DasDate":null,"Resolution":"Quasi continuous (< 1 min.)","ResolutionNL":"Quasi continu (< 1 min.)","Notes":null,"StartMonth0":3,"StartMonth":"March","StartMonthNL":"Maart","EndMonth0":6,"EndMonth":"June","EndMonthNL":"Juni","Progress":"In Progress","ProgressNL":"Gestart"}],"geographical":[{"GeoTerm":"North Sea","DasGeoID":10816,"DasGeoTerm":null,"DasID":6410,"GeotID":390,"X":null,"Y":null,"MaxX":null,"MaxY":null,"StationName":null,"Precision":null,"CoordSystID":null,"GeoDatumID":null,"OrigCoordMinX":null,"OrigCoordMinY":null,"OrigCoordMaxX":null,"OrigCoordMaxY":null,"OrderNr":null,"Projection":null,"GeoDatum":null,"GeoObjectID":2350,"OrigGeoTerm":"North Sea","DutchTerm":"Noordzee"}],"meastypes":null,"dasthemes":[{"DasThemeID":26,"DasTheme":"Biology > Benthos","DasTheme0":"Benthos","DutchTerm":"Benthos"}],"projects":[{"ProID":4928,"Acronym":"GEANS","Progress":"Completed","StandardTitle":"Genetic Tools for Ecosystem Health Assessment in the North Sea Region","FP7Code":null,"GrantDOI":null,"FunderID":"38-2-22-18","FunderIDType":"EU contract id","FunderCodes":["Other EU initiatives out of framework"]}],"refs":[{"0":349162,"BRefID":349162,"1":"Based on this dataset","Relation":"Based on this dataset","2":2,"RelationID":2,"3":"<b>Staehr, P.A.U. <i>et al.</i></b> (2022). Environmental DNA monitoring of biodiversity hotspots in Danish marine waters. <i>Front. Mar. Sci. 8</i>: 800474. <a href=\"https://dx.doi.org/10.3389/fmars.2021.800474\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.800474</a>","RR":"<b>Staehr, P.A.U. <i>et al.</i></b> (2022). Environmental DNA monitoring of biodiversity hotspots in Danish marine waters. <i>Front. Mar. Sci. 8</i>: 800474. <a href=\"https://dx.doi.org/10.3389/fmars.2021.800474\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.800474</a>","4":"Environmental DNA monitoring of biodiversity hotspots in Danish marine waters","StT":"Environmental DNA monitoring of biodiversity hotspots in Danish marine waters","5":"Staehr, P.A.U.; Dahl, K.; Buur, H.; Göke, C.; Sapkota, R.; Winding, A.; Panova, M.; Obst, M.; Sundberg, P.","RSA":"Staehr, P.A.U.; Dahl, K.; Buur, H.; Göke, C.; Sapkota, R.; Winding, A.; Panova, M.; Obst, M.; Sundberg, P.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2022,"AnaDate":2022,"8":null,"MonDate":null,"9":". <i>Front. Mar. Sci. 8</i>: 800474. <a href=\"https://dx.doi.org/10.3389/fmars.2021.800474\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.800474</a>","":". <i>Front. Mar. Sci. 8</i>: 800474. <a href=\"https://dx.doi.org/10.3389/fmars.2021.800474\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.800474</a>","10":"https://dx.doi.org/10.3389/fmars.2021.800474","doi":"https://dx.doi.org/10.3389/fmars.2021.800474"},{"0":338990,"BRefID":338990,"1":"Based on this dataset","Relation":"Based on this dataset","2":2,"RelationID":2,"3":"<b>Derycke, S. <i>et al.</i></b> (2021). Detection of macrobenthos species with metabarcoding is consistent in bulk DNA but dependent on body size and sclerotization in eDNA from the ethanol preservative. <i>Front. Mar. Sci. 8</i>: 637858. <a href=\"https://dx.doi.org/10.3389/fmars.2021.637858\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.637858</a>","RR":"<b>Derycke, S. <i>et al.</i></b> (2021). Detection of macrobenthos species with metabarcoding is consistent in bulk DNA but dependent on body size and sclerotization in eDNA from the ethanol preservative. <i>Front. Mar. Sci. 8</i>: 637858. <a href=\"https://dx.doi.org/10.3389/fmars.2021.637858\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.637858</a>","4":"Detection of macrobenthos species with metabarcoding is consistent in bulk DNA but dependent on body size and sclerotization in eDNA from the ethanol preservative","StT":"Detection of macrobenthos species with metabarcoding is consistent in bulk DNA but dependent on body size and sclerotization in eDNA from the ethanol preservative","5":"Derycke, S.; Maes, S.; Van Den Bulcke, L.; Vanhollebeke, J.; Wittoeck, J.; Hillewaert, H.; Ampe, B.; Haegeman, A.; Hoste, K.; De Backer, A.","RSA":"Derycke, S.; Maes, S.; Van Den Bulcke, L.; Vanhollebeke, J.; Wittoeck, J.; Hillewaert, H.; Ampe, B.; Haegeman, A.; Hoste, K.; De Backer, A.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2021,"AnaDate":2021,"8":null,"MonDate":null,"9":". <i>Front. Mar. Sci. 8</i>: 637858. <a href=\"https://dx.doi.org/10.3389/fmars.2021.637858\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.637858</a>","":". <i>Front. Mar. Sci. 8</i>: 637858. <a href=\"https://dx.doi.org/10.3389/fmars.2021.637858\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2021.637858</a>","10":"https://dx.doi.org/10.3389/fmars.2021.637858","doi":"https://dx.doi.org/10.3389/fmars.2021.637858"},{"0":348977,"BRefID":348977,"1":"Based on this dataset","Relation":"Based on this dataset","2":2,"RelationID":2,"3":"<b>Lankhorst, S.</b> (2021). Autonomous eDNA sampling for: Zero impact biodiversity monitoring. <i>Windpowernl Magazine 8(1)</i>: 44-45","RR":"<b>Lankhorst, S.</b> (2021). 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Towards harmonization of DNA metabarcoding for monitoring marine macrobenthos: the effect of technical replicates and pooled DNA extractions on species detection. <i>Metabarcoding and Metagenomics 5</i>: 233–247. <a href=\"https://dx.doi.org/10.3897/mbmg.5.71107\" target=\"_blank\">https://dx.doi.org/10.3897/mbmg.5.71107</a>","4":"Towards harmonization of DNA metabarcoding for monitoring marine macrobenthos: the effect of technical replicates and pooled DNA extractions on species detection","StT":"Towards harmonization of DNA metabarcoding for monitoring marine macrobenthos: the effect of technical replicates and pooled DNA extractions on species detection","5":"Van den Bulcke, L.; De Backer, A.; Ampe, B.; Maes, S.; Wittoeck, J.; Waegeman, W.; Hostens, K.; Derycke, S.","RSA":"Van den Bulcke, L.; De Backer, A.; Ampe, B.; Maes, S.; Wittoeck, J.; Waegeman, W.; Hostens, K.; Derycke, S.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2021,"AnaDate":2021,"8":null,"MonDate":null,"9":". <i>Metabarcoding and Metagenomics 5</i>: 233–247. <a href=\"https://dx.doi.org/10.3897/mbmg.5.71107\" target=\"_blank\">https://dx.doi.org/10.3897/mbmg.5.71107</a>","":". <i>Metabarcoding and Metagenomics 5</i>: 233–247. <a href=\"https://dx.doi.org/10.3897/mbmg.5.71107\" target=\"_blank\">https://dx.doi.org/10.3897/mbmg.5.71107</a>","10":"https://dx.doi.org/10.3897/mbmg.5.71107","doi":"https://dx.doi.org/10.3897/mbmg.5.71107"},{"0":336692,"BRefID":336692,"1":"Based on this dataset","Relation":"Based on this dataset","2":2,"RelationID":2,"3":"<b>Van der Loos, L.; Nijland, R.</b> (2021). Biases in bulk: DNA metabarcoding of marine communities and the methodology involved. <i>Mol. Ecol. 30(13)</i>: 3270-3288. <a href=\"https://hdl.handle.net/10.1111/mec.15592\" target=\"_blank\">https://hdl.handle.net/10.1111/mec.15592</a>","RR":"<b>Van der Loos, L.; Nijland, R.</b> (2021). Biases in bulk: DNA metabarcoding of marine communities and the methodology involved. <i>Mol. Ecol. 30(13)</i>: 3270-3288. <a href=\"https://hdl.handle.net/10.1111/mec.15592\" target=\"_blank\">https://hdl.handle.net/10.1111/mec.15592</a>","4":"Biases in bulk: DNA metabarcoding of marine communities and the methodology involved","StT":"Biases in bulk: DNA metabarcoding of marine communities and the methodology involved","5":"Van der Loos, L.; Nijland, R.","RSA":"Van der Loos, L.; Nijland, R.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2021,"AnaDate":2021,"8":null,"MonDate":null,"9":". <i>Mol. Ecol. 30(13)</i>: 3270-3288. <a href=\"https://hdl.handle.net/10.1111/mec.15592\" target=\"_blank\">https://hdl.handle.net/10.1111/mec.15592</a>","":". <i>Mol. Ecol. 30(13)</i>: 3270-3288. <a href=\"https://hdl.handle.net/10.1111/mec.15592\" target=\"_blank\">https://hdl.handle.net/10.1111/mec.15592</a>","10":"https://hdl.handle.net/10.1111/mec.15592","doi":"https://hdl.handle.net/10.1111/mec.15592"},{"0":331624,"BRefID":331624,"1":"Based on this dataset","Relation":"Based on this dataset","2":2,"RelationID":2,"3":"<b>Obst, M. <i>et al.</i></b> (2020). A Marine Biodiversity Observation Network for genetic monitoring of hard-bottom communities (ARMS-MBON). <i>Front. Mar. Sci. 7</i>: 572680. <a href=\"https://dx.doi.org/10.3389/fmars.2020.572680\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2020.572680</a>","RR":"<b>Obst, M. <i>et al.</i></b> (2020). A Marine Biodiversity Observation Network for genetic monitoring of hard-bottom communities (ARMS-MBON). <i>Front. Mar. Sci. 7</i>: 572680. <a href=\"https://dx.doi.org/10.3389/fmars.2020.572680\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2020.572680</a>","4":"A Marine Biodiversity Observation Network for genetic monitoring of hard-bottom communities (ARMS-MBON)","StT":"A Marine Biodiversity Observation Network for genetic monitoring of hard-bottom communities (ARMS-MBON)","5":"Obst, M.; Exter, K.; Allcock, A.L.; Arvanitidis, C.; Axberg, A.; Bustamante, M.; Cancio, I.; Carreira-Flores, D.; Chatzinikolaou, E.; Chatzigeorgiou, G.; Chrismas, N.; Clark, M.S.; Comtet, T.; Dailianis, T.; Davies, N.; Deneudt, K.; de Cerio, O.D.; Fortic, A.; Gerovasileiou, V.; Hablützel, P.I.; Keklikoglou, K.; Kotoulas, G.; Lasota, R.; Leite, B.R.; Loisel, S.; Lévêque, L.; Levy, L.; Malachowicz, M.; Mavric, B.; Meyer, C.; Mortelmans, J.; Norkko, J.; Pade, N.; Power, A.M.; Ramšak, A.; Reiss, H.; Solbakken, J.; Staehr, P.A.; Sundberg, P.; Thyrring, J.; Troncoso, J.; Viard, F.; Wenne, R.; Yperifanou, E.I.; Zbawicka, M.; Pavloudi, C.","RSA":"Obst, M.; Exter, K.; Allcock, A.L.; Arvanitidis, C.; Axberg, A.; Bustamante, M.; Cancio, I.; Carreira-Flores, D.; Chatzinikolaou, E.; Chatzigeorgiou, G.; Chrismas, N.; Clark, M.S.; Comtet, T.; Dailianis, T.; Davies, N.; Deneudt, K.; de Cerio, O.D.; Fortic, A.; Gerovasileiou, V.; Hablützel, P.I.; Keklikoglou, K.; Kotoulas, G.; Lasota, R.; Leite, B.R.; Loisel, S.; Lévêque, L.; Levy, L.; Malachowicz, M.; Mavric, B.; Meyer, C.; Mortelmans, J.; Norkko, J.; Pade, N.; Power, A.M.; Ramšak, A.; Reiss, H.; Solbakken, J.; Staehr, P.A.; Sundberg, P.; Thyrring, J.; Troncoso, J.; Viard, F.; Wenne, R.; Yperifanou, E.I.; Zbawicka, M.; Pavloudi, C.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2020,"AnaDate":2020,"8":null,"MonDate":null,"9":". <i>Front. 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